Tss (TSSI) Operating Expenses (2010 - 2026)
Tss' Operating Expenses was $6.41 million in Q2 2026, up 10.1% from $5.82 million a year earlier but down 1.9% from the prior quarter.
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Analysis
Tss (TSSI) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tss' Operating Expenses was $28.94 million through Jun 30, 2026, up 22.3% year-over-year; for FY2025, it was $26.06 million, up 57.1% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $16.59 million in FY2024 (+47.8%), $11.22 million in FY2023 (+39.1%), $8.07 million in FY2022 (+13.6%) and $7.1 million in FY2021 (-0.1%).
- Quarterly Operating Expenses has moved between $1.67 million (Q2 2022) and $10.44 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 64.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2025 (growth of 166.8%); the worst was Q2 2022 (a decline of 7.2%).
- Per Business Quant data, TSSI's Operating Expenses in the three quarters before Q2 2026 was $6.53 million (Q1 2026), $10.44 million (Q4 2025) and $5.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Tss | 551.77 Mn | 255.10 Mn | 8.01 Mn | 6.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.41 Mn |
| Mar 31, 2026 | 6.53 Mn |
| Dec 31, 2025 | 10.44 Mn |
| Sep 30, 2025 | 5.57 Mn |
| Jun 30, 2025 | 5.82 Mn |
| Mar 31, 2025 | 6.57 Mn |
| Dec 31, 2024 | 7.20 Mn |
| Sep 30, 2024 | 4.09 Mn |
| Jun 30, 2024 | 2.84 Mn |
| Mar 31, 2024 | 2.46 Mn |
| Dec 31, 2023 | 4.51 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 2.25 Mn |
| Mar 31, 2023 | 2.35 Mn |
| Dec 31, 2022 | 2.66 Mn |
| Sep 30, 2022 | 1.89 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.84 Mn |
| Dec 31, 2021 | 1.69 Mn |
| Sep 30, 2021 | 1.69 Mn |
API Access
Tss Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=TSSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TSSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=TSSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();